Murthy Cherukuri

About

Dr. Murthy Cherukuri
Professor
Department of Electrical and Electronics Engineering
Vishnu Institute of Technology, Bhimavaram
Andhra Pradesh-534202
INDIA

Employment

• Vishnu Institute of Technology Professor
  2026 - Present
• National Institute of Science and Technology Professor
  2010 - 2026
• Raghu Engineering College Assistant Professor
  2007 - 2008

Education

• Birla Institute of Technology Ph.D
  2012 - 2015
• Birla Institute of Technology M.E
  2008 - 2010
• Maharaj Vijayaram Gajapathi Ram College of Engineering B.Tech
  2003 - 2007

Projects & Funding

Projects & funding information is unavailable.

Publications (37)

• Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine
  International Transactions on Electrical Energy Systems 2024 DOI: 10.1155/2024/1335666
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• Modified Differential Evolution Algorithm for Governing Virtual Inertia of an Isolated Microgrid Integrating Electric Vehicles
  International Transactions on Electrical Energy Systems 2023 DOI: 10.1155/2023/8950650
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• Dual-tree complex wavelet packet transform and regularized extreme learning machine-based feature extraction and classification of power quality disturbances
  Energy Systems 2023 DOI: 10.1007/s12667-023-00584-1
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• A Novel Metaheuristic Jellyfish Optimization Algorithm for Parameter Extraction of Solar Module
  International Transactions on Electrical Energy Systems 2023 DOI: 10.1155/2023/5589859
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• Compatibility Analysis of IoT with 5G and 6G Communication
  2023 DOI: 10.1109/CCPIS59145.2023.10291311
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• Unmanned Integrated Autonomous Vehicle: Swayambhu
  2022 DOI: 10.1109/ODICON54453.2022.10010332
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• Design and Analysis of FOPID-Based Damping Controllers Using a Modified Grey Wolf Optimization Algorithm
  International Transactions on Electrical Energy Systems 2022 DOI: 10.1155/2022/5339630
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• Fast TT transform and optimized probabilistic neural network-based power quality event detection and classification
  Electrical Engineering 2022 DOI: 10.1007/s00202-022-01505-8
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• Power quality events recognition using enhanced empirical mode decomposition and optimized extreme learning machine
  Computers and Electrical Engineering 2022 DOI: 10.1016/j.compeleceng.2022.107926
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• Resiliency Estimation of Synchrophasor Communication Networks in a Wide Area Measurement System
  Frontiers in Energy Research 2022 DOI: 10.3389/fenrg.2022.854676
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